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OZ is seeking a highly skilled SSIS / SQL Developer to lead large-scale Oracle-to-SQL Server migrations. You will design, develop, and optimize ETL pipelines, ensure data integrity, and collaborate with analysts and DBAs to translate requirements into robust technical solutions.
The role requires extensive experience with SSIS, T-SQL, and Oracle, plus hands-on migration of complex schemas. You will perform profiling, testing, performance tuning, and post-migration support in a fast-paced
We are seeking a highly skilled SSIS / SQL Developer with proven expertise in data migration, particularly in migrating large-scale enterprise data from Oracle to Microsoft SQL Server. The ideal candidate will be responsible for designing, developing, and optimizing ETL pipelines using SQL Server Integration Services (SSIS), writing complex T-SQL queries, and ensuring data integrity throughout the migration lifecycle.
5+ years of hands-on experience building and managing SSIS packages, including control flow, data flow, event handlers, and error handling. Strong proficiency in Microsoft SQL Server (2016/2019/2022), including T-SQL, query optimization, indexing, and database design. Solid experience working with Oracle (10g/11g/12c/19c), including PL/SQL, Oracle data types, sequences, and schema management. Proven experience executing Oracle-to-SQL Server migrations, including schema conversion, data mapping, and validation. Expertise in building scalable ETL pipelines for large datasets with strong data quality and transformation logic.
Proficiency with SQL Server Management Studio (SSMS) and Visual Studio (SSDT). Proficiency with Oracle SQL Developer or TOAD. Experience with Microsoft SQL Server Migration Assistant (SSMA) for Oracle. Experience with SSIS Catalog and SQL Server Agent for job scheduling. Experience with Git, Azure DevOps, or TFS for version control is preferred. Experience with SSRS or Power BI for reporting integration is advantageous.
Microsoft Certified: Azure Data Engineer Associate or an equivalent SQL Server certification. Experience with Azure Data Factory (ADF) or other cloud-based ETL platforms. Familiarity with data warehousing concepts, including star schema, snowflake schema, and slowly changing dimensions. Experience working with Azure cloud environments. Experience with Agile or Scrum methodologies. Experience with data lineage and metadata management tools.
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field is preferred.